COMPARATIVE MODELS IN CUSTOMER BASE ANALYSIS: PARAMETRIC MODEL AND OBSERVATION-DRIVEN MODEL

Bayesian Nonparametric Customer Base Analysis with Model-based Visualizations

Marketing managers are responsible for understanding and predicting customer purchasing activity, a task that is complicated by a lack of knowledge of all of the calendar time events that influence purchase timing. Yet, isolating calendar time variability from the natural ebb and flow of purchasing is important, both for accurately assessing the influence of calendar time shocks to the spending...

A Cross-Cohort Changepoint Model for Customer-Base Analysis

Probability Models for Customer-Base Analysis

As more firms begin to collect (and seek value from) richer customer-level datasets, a focus on the emerging concept of customer-base analysis is becoming increasingly common and critical. Such analyses include forward-looking projections ranging from aggregate-level sales trajectories to individual-level conditional expectations (which, in turn, can be used to derive estimates of customer life...

Regression Analysis under Inverse Gaussian Model: Repeated Observation Case

 Traditional regression analyses assume normality of observations and independence of mean and variance. However, there are many examples in science and Technology where the observations come from a skewed distribution and moreover there is a functional dependence between variance and mean. In this article, we propose a method for regression analysis under Inverse Gaussian model when th...

Technology driven strategy model in Research and Technology Organization

The purpose of this study was to provide a technology driven strategy model with an interpretive structure approach in the Petrochemical Research and Technology Company. The present study is descriptive, survey in terms of the nature of the research and applied in terms of purpose. By reviewing the research literature and expert opinion polls, 10 effective factors were identified along with the...